AI Jobs in Australia

Find top AI jobs in Australia across machine learning, generative AI, and data roles. All opportunities are curated and updated hourly from companies hiring nationwide.

Check out 130 new AI opportunities posted on The Homebase

Senior Backend Software Engineer (Builders)

New
Top rated
Relevance AI
Full-time
Full-time
Posted

Design, build, and operate scalable back-end systems that power AI agent and workflow builders. Own mission-critical services and infrastructure, delivering impactful features from ideation through to production. Push the boundaries of applied AI by enabling new agent capabilities, workflow orchestration, and system behaviours. Shape engineering standards, architecture, and processes as the team scales. Mentor and support engineers across the team, raising the bar for technical quality and ownership. Set and uphold high standards for code quality, performance, reliability, and security. Collaborate closely with product, design, and leadership to align technical direction with business outcomes.

Undisclosed

()

Sydney, Australia
Maybe global
Hybrid

Freelance AI Trainer - Civil Engineering & Python

New
Top rated
Mindrift
Part-time
Full-time
Posted

Design technically rigorous civil engineering problems grounded in practice. Evaluate AI solutions for engineering accuracy and assumptions. Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs. Improve AI reasoning to align with codes, standards, and professional logic. Apply structured scoring criteria to assess model performance.

$33 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Electrical Engineer with Python Experience - Freelance AI Trainer

New
Top rated
Mindrift
Part-time
Full-time
Posted

The role involves designing rigorous electrical engineering problems that reflect professional practice, evaluating AI solutions for correctness, assumptions, and constraints, validating calculations or simulations using Python (including libraries such as NumPy, Pandas, and SciPy), improving AI reasoning to align with industry-standard logic, and applying structured scoring criteria to multi-step problems.

$38 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Mechanical Engineer with Python Experience - Freelance AI Trainer

New
Top rated
Mindrift
Part-time
Full-time
Posted

Design graduate- and industry-level mechanical engineering problems grounded in real practice. Evaluate AI-generated solutions for correctness, assumptions, and engineering logic. Validate analytical or numerical results using Python (NumPy, SciPy, Pandas). Improve AI reasoning to align with first principles and accepted engineering standards. Apply structured scoring criteria to assess multi-step problem solving.

$38 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Staff AI Engineer

New
Top rated
Relevance AI
Full-time
Full-time
Posted

Design and implement AI agents and extend existing agents with new capabilities including managing agent context using techniques like sub-agents and retrieval-based context management. Develop complex tools for agents such as computer use and browser use. Research and develop multi-agent orchestration and tool calling systems to enable collaboration between agents. Build and maintain production-grade APIs and AI-powered features across backend services and user-facing experiences. Evaluate AI performance through tests and evaluations and iterate on prompts, agent tools, and orchestration to improve output quality and reliability.

Undisclosed

()

Sydney, Australia
Maybe global
Hybrid

Senior AI Engineer

New
Top rated
Relevance AI
Full-time
Full-time
Posted

Develop AI agents and multi-agent systems by designing and implementing agents and extending existing agent capabilities, including managing the agent's context using techniques like sub-agents and retrieval-based context management. Develop complex tools for agents such as computer use and browser use. Research and build systems for multi-agent orchestration and agent tool calling to manage collaboration and tool usage. Engage in full-stack development to build and maintain production-grade APIs and AI-powered features, covering backend services to user-facing experiences. Evaluate AI performance using tests and evaluations to iterate and improve prompts, agent tools, and orchestration for better output quality and reliability.

Undisclosed

()

Sydney, Australia
Maybe global
Hybrid

Enterprise Account Executive - Italy

New
Top rated
Glean Work
Full-time
Full-time
Posted

The AI Outcomes Manager will partner with executive sponsors and end users to identify high-impact use cases and turn them into measurable business outcomes on Glean. They will lead strategic reviews and advise customers on their AI roadmap to ensure maximum value from Glean's platform. The role involves translating business needs into clear problem statements, success metrics, and practical AI solutions while collaborating with Product and R&D to shape priorities. They will conduct discovery workshops, scope pilots, and guide rollouts to drive broad and deep adoption of the Glean platform. Additionally, they will design and build AI agents with and for customers, including rethinking and redesigning underlying business processes to maximize impact and usability. The manager will proactively identify expansion opportunities and drive engagement across teams and functions.

$130,000 – $200,000
Undisclosed
YEAR

(USD)

Maybe global
Remote

Senior AI Engineer - San Mateo, CA

New
Top rated
Trustlab
Full-time
Posted

The role involves training, evaluating, and monitoring new and improved LLMs and other algorithmic models. The engineer will test and deploy content moderation models in production and iterate based on real-world performance metrics and feedback loops. They are expected to develop medium to long-term vision for content understanding-related R&D, collaborating with management, product, policy & operations, and engineering teams. The position requires taking ownership of results delivered to customers, advocating for changes in approach where needed, and leading cross-functional execution.

Undisclosed

()

Maybe global

MCP & Tools Python Developer - Agent Evaluation Infrastructure

New
Top rated
Mindrift
Part-time
Full-time
Posted

Developing and maintaining MCP-compatible evaluation servers, implementing logic to check agent actions against scenario definitions, creating or extending tools that writers and QAs use to test agents, working closely with infrastructure engineers to ensure compatibility, and occasionally helping with test writing or debug sessions when needed.

$45 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

Evaluation Scenario Writer - AI Agent Testing Specialist

New
Top rated
Mindrift
Part-time
Full-time
Posted

Design realistic and structured evaluation scenarios for LLM-based agents by creating test cases that simulate human-performed tasks and defining gold-standard behavior to compare agent actions against. Create structured test cases that simulate complex human workflows. Define gold-standard behavior and scoring logic to evaluate agent actions. Analyze agent logs, failure modes, and decision paths. Work with code repositories and test frameworks to validate scenarios. Iterate on prompts, instructions, and test cases to improve clarity and difficulty. Ensure scenarios are production-ready, easy to run, and reusable.

$45 / hour
Undisclosed
HOUR

(USD)

Australia
Maybe global
Remote

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Frequently Asked Questions

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[{"question":"What types of AI jobs are available in Australia?","answer":"Australia's AI job landscape features several key roles including machine learning engineers, AI engineers, data scientists, and emerging generative AI specialists. Many traditional tech positions now incorporate AI components as the technology becomes more integrated across industries. Companies are increasingly embedding AI expertise within existing teams rather than creating standalone positions. Notable growth areas include AI roles in healthcare technology and agricultural technology sectors, which saw a 17% increase in 2025. Western Australia, Queensland, and South Australia currently show stronger demand for AI talent compared to NSW, Victoria, and ACT."},{"question":"Are there remote AI jobs available in Australia?","answer":"While specific data on remote AI positions in Australia isn't comprehensive, the tech sector shows regional variations in hiring approaches. Remote options exist particularly for roles requiring specialized AI expertise that companies struggle to find locally. Organizations in metropolitan hubs like Sydney and Melbourne often prefer hybrid arrangements for AI teams to facilitate collaboration on complex projects. Regional areas may offer more flexibility to attract talent from major cities. As AI tools themselves enable better remote collaboration, this trend may accelerate. Companies building distributed AI teams often provide additional support for knowledge sharing across locations."},{"question":"What skills are most in demand for AI jobs in Australia?","answer":"Australian employers prioritize practical AI proficiencies like prompt engineering alongside foundational machine learning capabilities. Cybersecurity skills combined with AI knowledge command particular premium as organizations address AI security concerns. Proficiency with specific machine learning frameworks, AI-enabled productivity applications, and data visualization tools appears frequently in job requirements. Job postings increasingly mention generative AI experience, including working with large language models and image generation systems. The ability to explain complex AI concepts to non-technical stakeholders has become essential as AI adoption spreads across departments. Demand for these specialized skills has surged sharply in recent job advertisements."},{"question":"What is the salary range for AI jobs in Australia?","answer":"AI professionals in Australia consistently earn higher wages than counterparts without AI skills across various industries and occupations. This AI wage premium has increased from previous years as competition for qualified candidates intensifies. Salary variations depend heavily on specialization, with generative AI and AI security expertise commanding higher compensation. Location significantly impacts pay scales, with Sydney and Melbourne typically offering higher salaries than regional areas. Experience level creates substantial differentials, while industry sector also influences compensation—financial services and healthcare technology typically pay premium rates. Company size affects package structures, with startups often offering equity components alongside base salary."},{"question":"What experience levels are companies hiring for in AI jobs in Australia?","answer":"Australian organizations are focusing on early-career talent and graduates for AI positions to prevent future skill shortages. Entry-level roles often emphasize potential and foundational technical skills over extensive AI experience. Many companies prefer developing internal talent through upskilling programs rather than competing for scarce experienced professionals whose compensation demands have risen significantly. Graduate programs specifically targeting AI capabilities have expanded, particularly in larger organizations. Mid-level positions typically require demonstrable project experience rather than years of service. Senior AI roles remain challenging to fill, driving companies to consider international talent and creative compensation packages to secure experienced leaders."},{"question":"How often are new AI jobs posted in Australia?","answer":"AI job posting frequency in Australia shows mixed signals despite overall growth in the sector. While tech jobs declined by 3.7% (31,000 positions) through May 2025, AI-specific employment grew to 6,814 jobs with 15.3% annual growth. Each position typically attracts substantial application volumes, partly due to economic pressures and improved AI-powered candidate sourcing tools. Posting frequency varies significantly by region, with stronger activity in Western Australia, Queensland and South Australia compared to eastern states. Companies often extend posting periods to capture more candidates rather than creating frequent new listings. Seasonal variations occur, with stronger hiring pushes typically following budget cycles."},{"question":"What is the difference between The Homebase and other job boards?","answer":"The Homebase distinguishes itself through specialized curation of AI positions across Australia's evolving technology landscape. Unlike general boards that mix various tech roles, The Homebase focuses exclusively on verified artificial intelligence and machine learning opportunities. The platform employs domain experts to evaluate each listing's technical legitimacy and verify that advertised AI roles involve genuine AI work rather than inflated job titles. Employers undergo verification to ensure legitimate opportunities. Job seekers benefit from targeted search capabilities designed specifically for AI specializations, skills, and experience levels. The platform also provides AI-specific salary insights and regional demand data unavailable on broader platforms."}]